Skill UI

This skill processes raw, unstructured materials (e.g., conversations, reports, controversies) into highly structured, reusable casebook entries. It focuses on identifying core facts, defining mechanism chains, and mapping responsibility links while ensuring rigorous data anonymization. It is designed for deep knowledge management and pattern recognition, helping users build a reliable, reusable knowledge base for future professional analysis, rather than generating immediate advice.

This specialized skill guides the creation of long-form structural critical essays and detailed academic dossiers, primarily for Chinese academic contexts. It utilizes the CrossFrame methodology to first establish a foundational structure, define evidence boundaries, and identify key mechanisms, before applying a critical matrix. The output is highly structured, ensuring depth, rigorous source checking, and comprehensive critical analysis suitable for complex intellectual work.

This技能 is used when analyzing complex propositions, debating, or reviewing arguments within the CrossFrame Suite. It helps users deconstruct claims into testable arguments, identifying hidden premises, strongest counterarguments, evidence requirements, and conditions for withdrawal, ensuring conclusions are robust and non-judgmental.

This skill is designed for generating structured, insightful, and boundary-aware short answers, such as reader replies, editor responses, or consultation advice. It structures analysis by defining fact boundaries, providing structural judgment, offering necessary critique, and suggesting safe, low-risk next steps. It is primarily activated by the CrossFrame Suite, ensuring the output maintains a canonical Chinese semantic layer while providing professional, actionable advice.

A specialized writing tool for generating Chinese critical essays, public commentaries, and concept essays based on the CrossFrame framework. It structures analysis, concept mapping, and evidence boundaries before drafting high-quality, long-form articles.

This skill provides a highly rigorous framework for analyzing complex public issues, platform governance, and institutional compliance. It is designed to structure evidence boundaries, assess procedural justice, and track public commitments by synthesizing source ledgers and multiple data points. It is intended as a specialized sub-routine triggered by the main CrossFrame suite, not for standalone use. Key focus areas include source verification, identifying weak signals, and mitigating AI compliance performance risks.

An umbrella router for CrossFrame workflows that coordinates multiple AI skills for diagnosis, analysis, and essay generation. It determines task routing, reading order, and output modes, defaulting to structured long-form articles with visible structural drafts.

Transform raw data into compelling narratives that drive decisions and inspire action. Use frameworks like problem-solution or trend analysis to present analytics to executives, investors, and non-technical audiences. Includes visualization techniques and narrative arcs for clear communication.

Authorized security assessment of PostgreSQL, MySQL, MSSQL, MongoDB, and Redis: exposure and TLS review, account role and grantee analysis, dangerous configuration checks (file_priv, xp_cmdshell, COPY PROGRAM, UDF), NoSQL injection, and audit log posture.

Generates structured technical deliverables from completed security analysis: reverse-engineering reports, penetration-test reports, CTF write-ups, and signature-analysis docs with evidence-backed sections, Mermaid diagrams, and vendor-style templates.

This skill specializes in creating comprehensive and maintainable documentation directly from codebases. It generates API docs, architecture diagrams, user guides, and technical references using AI-powered analysis. Ideal for building documentation pipelines, standardizing documentation across repositories, and ensuring living documentation stays synchronized with code changes while adhering to industry best practices.

Expert guidance for using ffuf in authorized web penetration testing: content discovery, subdomain and parameter fuzzing, authenticated raw requests, auto-calibration, filtering, and result analysis.